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Level I = Getting Started course
Level II = Fundamentals course
Level III = Intermediate course
Level IV = Advanced course
BKS = Business Knowledge Series

Course List by Job Role

Other course views:
Courses by software product | alphabetically by title | location | date | level

Select the topics below for an expanded list of available courses. The paths show the appropriate order for taking these courses.

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Courses for New SAS Users

Courses for New SAS Users

SAS Programming

Data Manager
Report Writer

SAS Intelligence Platform

Business User
Business Analyst
BI Applications Developer
Data Integration Developer
Platform Administrator
Project Manager

SAS Analytics

Statistical Analyst
(View path diagram)
LevelPublicOn-siteLive Web
What's New in SAS 9.2 for Categorical and Survival Data Analysis New [] []  
Querying and Reporting Using SAS Enterprise Guide I [] [] []
Introduction to Programming with SAS/IML Software New II   [] []
SAS Enterprise Guide: ANOVA, Regression, and Logistic Regression II [] [] []
SAS Programming 1: Essentials II [] [] []
Statistics I: Introduction to ANOVA, Regression, and Logistic Regression II [] [] []
Categorical Data Analysis Using Logistic Regression SAS 9.2 III [] [] []
Categorical Data Analysis Using Logistic Regression III [] [] []
Determining Power and Sample Size Using SAS/STAT Software III   [] []
Fitting Poisson Regression Models Using the GENMOD Procedure III   [] []
Statistics II: ANOVA and Regression III [] [] []
Survival Analysis Using the Proportional Hazards Model III [] [] []
What's New in SAS 9.2 for Categorical Data Analysis New III   [] []
Advanced Statistical Modeling Using the NLMIXED Procedure IV   [] []
Applied Clustering Techniques IV [] []  
Customizing Your Data Analysis with SAS Stat Studio New IV   [] []
Design and Analysis of Probability Surveys SAS 9.2 IV [] [] []
Design and Analysis of Probability Surveys IV [] []  
Longitudinal Data Analysis with Discrete and Continuous Responses IV [] [] []
Mixed Models Analyses Using SAS SAS 9.2 IV [] [] []
Mixed Models Analyses Using the SAS System IV [] [] []
Multivariate Statistical Methods: Practical Research Applications IV [] [] []
Predictive Modeling Using Logistic Regression IV [] [] []
Statistical Analysis with the GLIMMIX Procedure IV [] [] []
What's New in SAS 9.2 for Mixed Models Analysis New IV   []  
What's New in SAS 9.2 for Mixed Models Analysis New IV   [] []
Analysis of Consumer Panel Data BKS BKS   [] []
Conjoint Analysis: Evaluating Consumer Preferences Using SAS Software BKS BKS   [] []
Discrete Choice Modeling Using SAS Software BKS New BKS   [] []
Fitting Tobit and Other Limited Dependent Variable Models BKS New BKS   [] []
Getting the Most Out of Testing in Direct/Internet Marketing BKS BKS   [] []
Imputation Techniques in SAS BKS BKS   [] []
Introduction to Statistical Concepts: Means, Standard Deviations, Confidence Intervals and Hypotheses Testing BKS BKS   [] []
Introduction to Structural Equation Modeling BKS BKS   [] []
Making Business Decisions Using Linear Models in SAS: A Harvard Case Study BKS New BKS [] []  
Modeling Trend, Cycles, and Seasonality in Time Series Data Using PROC UCM BKS BKS   [] []
Modern Multiple Comparisons and Multiple Tests Using SAS BKS BKS   [] []
Multiple Comparisons in SAS: Classical to Modern Methods BKS New BKS [] []  
Robust Regression Techniques in SAS/STAT BKS BKS   [] []
Statistical Aids for Management Decisions in Drug Research and Development BKS BKS   [] []
Data Miner
Forecaster
Market Researcher
Operations Researcher
JMP Analyst
Six Sigma Professional

SAS Solution Lines

Customer Intelligence
Financial Management
Activity-Based Management
Strategic Performance Management
Merchandise Intelligence
IT Management
Warranty Analysis
(View path diagram)
LevelPublicOn-siteLive Web
SAS Warranty Analysis Training I [] []  


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